Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers

Williams, Amy; Turer, Christy B.; Smith, Jamie; Nievera, Isabelle; McCulloch, Laura; Wareg, Nuha K.; Clary, Megan; Rajagopalan, Anuradha; Brownson, Ross C.; Koopman, Richelle J.; Hampl, Sarah

doi:10.1055/s-0040-1705106

Cited by 14 publications

(32 citation statements)

References 24 publications

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“…Several studies have demonstrated the explanatory power of perceived usefulness and perceived ease of use in interpreting the specific behaviors of GPs, such as adherence to guidelines, the use of health information technology, etc. [ 38 , 39 , 40 , 41 ]. The results of the analysis of the use of telehealth services showed that the main factors influencing the use of telemedicine services, in addition to perceived usefulness and ease of use, were the following variables: social impact, favorable conditions, and trust [ 73 ].…”

Section: Discussionmentioning

confidence: 99%

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Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland

Walczak

Kludacz-Alessandri

Hawrysz

2022

IJERPH

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During the COVID-19 pandemic, telehealth became a popular solution for the remote provision of primary care by General Practitioners (GPs) in Poland. This study aimed to assess the GPs’ acceptance of telehealth during the COVID-19 pandemic in Poland and to explain the factors that drive GPs’ need to implement a telehealth system in primary care using the modified Technology Acceptance Model (TAM). In Poland, 361 GPs from a representative sample of 361 clinics drawn from 21.500 outpatient institutions in Poland participated in the empirical study. Structural equation modelling (SEM) was used to evaluate the causal relationships that were formulated in the proposed model. Research has shown that Polish GPs reported a positive perception and high acceptance of the telehealth system during the COVID-19 pandemic. Overall, the results show that the social factors (image, decision autonomy, perception of patient interaction) significantly positively influence the technological factors (perceived ease of use and perceived usefulness) that influence the need to implement a telehealth system. The proposed socio-technological model can serve as a theoretical basis for future research and offer empirical predictions for practitioners and researchers in health departments, governments, and primary care settings.

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Section: Discussionmentioning

confidence: 99%

“…On the basis of TAM, several studies have demonstrated the explanatory power of these two factors in interpreting specific behaviors of health professionals, such as adherence to guidelines, the use of health information technology, etc. [ 38 , 39 , 40 , 41 ].…”

Section: Theoretical Basicsmentioning

confidence: 99%

Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland

Walczak

Kludacz-Alessandri

Hawrysz

2022

IJERPH

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“…On the other hand, 1 benefit of FitTastic that providers identified previously was that use of FitTastic with all families (not just children with obesity) may reduce the stigma associated with completing FitTastic behavioral assessments. 20 Providers at the intervention clinics chose to continue FitTastic after the completion of the study, currently up to 5-years after initiation, speaking to those providers' favorable views of FitTastic.…”

Section: Discussionmentioning

confidence: 99%

A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool

et al. 2022

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Background: Primary-care providers, clinic staff, and nurses play an important role in reducing child obesity; yet time restraints and clinical demands compete with effective pediatric weight management and prevention.Methods: To investigate the potential impact of an electronic health record (EHR) enabled tool to assist primary care teams in addressing child obesity, we conducted a controlled effectiveness study of FitTastic compared with usual care on the BMI pattern of 291 children (2 to 17 years) up to 4 years later.Results: Per x 2 analysis, a greater proportion of children with baseline overweight/obesity in the EHR tool group than the control group had a favorable BMI pattern (32% vs 13%, P = .03). In logistic regression, FitTastic children were more likely than control children to have a favorable BMI pattern at follow-up (OR 3.8, 95% CI 1.1 to 13.2), adjusted for age, gender, race, and parental education.Conclusion: Study findings suggest that EHR-enabled tools to assist primary care teams in managing child obesity may be useful for helping to address the weight in children with overweight/obesity, especially in younger children (2 to 5 years). Digital and EHR-enabled technologies may prove useful for partnering health care teams and families in the important tasks of setting positive, family-centered healthy lifestyle behavioral goals and managing child overweight and obesity.

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“… 12 Using EHR templates and integrated tools such as an automated body mass index (BMI) calculator improves obesity diagnosis precision. 2 , 3 , 4 , 5 , 6 , 18 , 19 , 20 It is important to update tools that are so vital to clinical practice. 2 …”

Section: Introductionmentioning

confidence: 99%

Childhood obesity diagnosis and management remains a challenge despite the use of electronic health records: A retrospective study

Paquette

Théorêt

Veilleux

et al. 2022

Health Science Reports

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Background The use of electronic health records (EHR) has revolutionized medical practice by improving the quality of care. Childhood obesity (CO) increases the risk of developing other chronic diseases and has a serious psychosocial impact on children. Using EHR may improve this clinical condition since early diagnosis is a crucial means of preventing its negative impacts. Objectives The aim of the study was to assess the diagnosis and management of CO in a Canadian academic family medicine group unit (FMG‐U) that uses EHR with an integrated CO diagnosis tool. Methods This is a retrospective study conducted in an FMG‐U in the province of Quebec. The clinical practice guidelines established by the World Health Organization (WHO) were used to assess diagnosis and management of CO. EHR of every patient from 5 to 12 years old who had a medical appointment at the FMG‐U in 2017 ( n = 618) were analyzed. EHR use by clinicians was assessed by a closed‐ended online survey sent to clinicians who provided pediatric care at that clinic in 2017. Results We identified 69 patients as obese according to the WHO, of whom 40 had been diagnosed by health professionals at the clinic. Of these, 33 received nutritional counseling; 33 received physical activity counseling; 13 received parent involvement counseling; 19 were referred to another health professional; and 12 were followed up within 6 months. Ten out of 15 clinicians responded to the survey. They all used the EHR integrated CO diagnosis tool but only 20% were truly familiar with it. Conclusions This study shows that CO is still underdiagnosed in primary care, notwithstanding the use of EHR with integrated tools. This affects the quality of care. Moreover, even if CO were correctly diagnosed, its management remains incomplete. Knowledge translation by medical organizations plays an important role in addressing this problem.

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Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers

Cited by 14 publications

References 24 publications

Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland

Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland

A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool

Childhood obesity diagnosis and management remains a challenge despite the use of electronic health records: A retrospective study

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